Qualitative Data Analysis 101 Tutorial: 6 Analysis Methods + Examples
Grad Coach
945,678 views
Drowning in a pile of interview transcripts? Here are the six qualitative data analysis methods, and how to choose.
🎓 GET 1-ON-1 DATA ANALYSIS HELP: https://go.gradcoach.com/GUqjW
🧰 FREE RESEARCH TOOLKIT: https://go.gradcoach.com/2ioW6
THE KEY QUESTIONS WE ANSWER IN THIS VIDEO
What is qualitative data?
Pretty much any data that is not numbers. It is not something you measure on a fixed scale or with statistics. Often interview transcripts, documents and open-ended survey responses, but it also covers the interpretation of images and video, so it is not limited to text.
What is the difference between qualitative and quantitative research?
Qualitative research focuses on words, descriptions, concepts and ideas; quantitative research focuses on numbers and statistics. Qualitative investigates the softer side of things to explore and describe, while quantitative measures differences between variables and the relationships between them.
Is qualitative analysis easier than quantitative analysis?
Not quite. In many ways qualitative data is more challenging and time consuming to analyze and interpret, and that comes at the end of a data collection phase that already takes a lot out of you.
What are the most popular qualitative data analysis methods?
Six: qualitative content analysis, narrative analysis, discourse analysis, thematic analysis, grounded theory, and interpretative phenomenological analysis (IPA).
What is qualitative content analysis?
The most common and straightforward of the methods. At its simplest it evaluates patterns within a piece of content, such as words, phrases or images, and counts how they appear.
What is narrative analysis?
Listening to people tell stories and analyzing what those stories mean. Because stories help us make sense of the world, how something is told reveals a mindset: a prisoner justifying a crime shows you their view of the justice system, and entrepreneurs describing career struggles show you theirs.
What is discourse analysis?
Analyzing language within its social context: a conversation or a speech inside the culture and society it takes place in. How a janitor speaks to a CEO, or how politicians speak about terrorism, only makes sense once you account for that culture and history.
What is thematic analysis?
Looking at patterns of meaning across a data set, such as a set of interviews or focus groups, and grouping the data by theme. You could analyze a hundred reviews of a restaurant this way. It is time consuming, but for good reason, so budget extra time if you choose it.
What is grounded theory?
A method where the intention is to create a theory rather than test one. You go in with an open mind and a general overarching question, and the theory develops from the data rather than from a preconceived idea. Critics point to a circularity in it.
What is interpretative phenomenological analysis (IPA)?
IPA is designed to help you understand the personal experiences of a subject: how a specific person made sense of something they lived through, rather than what a group has in common.
How do I choose the right qualitative analysis method?
It depends largely on your research aims, objectives and questions. The best tool for the job depends on what you are trying to build. Analyzing what words reveal about a storyteller's intent points somewhere quite different from understanding one person's lived experience, and each method has its own strengths and limitations.
OVERVIEW
00:00 Introduction
02:03 What is qualitative data?
02:46 Qualitative data vs quantitative data
03:25 Is qualitative analysis easier than quantitative analysis?
05:02 The six most popular qualitative analysis methods
05:25 Method 1: Qualitative content analysis
07:58 Method 2: Narrative analysis
10:18 Method 3: Discourse analysis
12:50 Method 4: Thematic analysis
14:50 Method 5: Grounded theory
17:59 Method 6: Interpretative phenomenological analysis (IPA)
20:37 How to choose the right qualitative analysis method
22:55 Recap
FREE RESOURCES
Qualitative Data Analysis Methods - https://go.gradcoach.com/dtyvL
Qualitative 101: The High-Level Process - https://go.gradcoach.com/ThphZ
Qualitative Data Coding 101 - https://go.gradcoach.com/abmhP
Qualitative vs Quantitative Research 101 - https://go.gradcoach.com/t8wp3
Trustworthiness in Qualitative Research - https://go.gradcoach.com/rSVJ7
PREMIUM RESOURCES
Research Methodology 101 (Blueprint) - https://go.gradcoach.com/fptLd
OUR SOCIALS
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20 Comments
1. Content analysis
- Frequency of which an idea is shared, patterns deeper interpretations. Have a specific question before going in, group into categories.
- Time consuming, losing important nuances.
2. Narrative
Analyzing stories, how something is being said. (students how they talk about their stories on internet.)
Limitations with sample sizes, and research bias so be careful when using this method.
3. Thematic
Looks at patterns, takes bodies of data according to similarities, themes that constantly pop up in data. Aims in understanding people’s experience, exploratory, research questions change.
4. Discourse
Spoken debate, analyzing debate in its social context within the culture and society.
5. Grounded Theory
Intention is to create new theory at the data at hand, goes into analysis with an open mind, without any bias. After analyzing the general data, you might find patterns in the data. Then you might look for a smaller data and more commonalities, as the process continues, you will develop a theory.
6. IPA
Designed to help you understand the personal experiences of a subject concerning a major life event.
Research bias should be taken to account, be VERY self aware or else you might muddy the research.
1. What is the local communities understanding of environmental issues and nature-based solutions in Limerick City?
2. Are there ways to interpret or create more spaces for the local community to become actively involved with environmental issues through nature-based solutions in Limerick City?
The objectives outlined below determine specifically what the researcher will examine. These include:
• Create a general understanding of the attitudes of the local community towards environmental issues and nature-based solutions.
• Identify the impact that environmental issues have had on the local community.
• Determine how the local community want to take action to tackle environmental issues and nature-based solutions in the future.
• Look at ways to encourage more innovative nature-based solutions within the local community.
• Identify ways in which a Nature Interpretation Centre could enhance engagement with the local community.
What would be the best qualitative and quantitative data analysis to use?
Qualitative Data Analysis 101 Tutorial: 6 Analysis Methods + Examples
Grad Coach
945,678 views
Drowning in a pile of interview transcripts? Here are the six qualitative data analysis methods, and how to choose.
🎓 GET 1-ON-1 DATA ANALYSIS HELP: https://go.gradcoach.com/GUqjW
🧰 FREE RESEARCH TOOLKIT: https://go.gradcoach.com/2ioW6
THE KEY QUESTIONS WE ANSWER IN THIS VIDEO
What is qualitative data?
Pretty much any data that is not numbers. It is not something you measure on a fixed scale or with statistics. Often interview transcripts, documents and open-ended survey responses, but it also covers the interpretation of images and video, so it is not limited to text.
What is the difference between qualitative and quantitative research?
Qualitative research focuses on words, descriptions, concepts and ideas; quantitative research focuses on numbers and statistics. Qualitative investigates the softer side of things to explore and describe, while quantitative measures differences between variables and the relationships between them.
Is qualitative analysis easier than quantitative analysis?
Not quite. In many ways qualitative data is more challenging and time consuming to analyze and interpret, and that comes at the end of a data collection phase that already takes a lot out of you.
What are the most popular qualitative data analysis methods?
Six: qualitative content analysis, narrative analysis, discourse analysis, thematic analysis, grounded theory, and interpretative phenomenological analysis (IPA).
What is qualitative content analysis?
The most common and straightforward of the methods. At its simplest it evaluates patterns within a piece of content, such as words, phrases or images, and counts how they appear.
What is narrative analysis?
Listening to people tell stories and analyzing what those stories mean. Because stories help us make sense of the world, how something is told reveals a mindset: a prisoner justifying a crime shows you their view of the justice system, and entrepreneurs describing career struggles show you theirs.
What is discourse analysis?
Analyzing language within its social context: a conversation or a speech inside the culture and society it takes place in. How a janitor speaks to a CEO, or how politicians speak about terrorism, only makes sense once you account for that culture and history.
What is thematic analysis?
Looking at patterns of meaning across a data set, such as a set of interviews or focus groups, and grouping the data by theme. You could analyze a hundred reviews of a restaurant this way. It is time consuming, but for good reason, so budget extra time if you choose it.
What is grounded theory?
A method where the intention is to create a theory rather than test one. You go in with an open mind and a general overarching question, and the theory develops from the data rather than from a preconceived idea. Critics point to a circularity in it.
What is interpretative phenomenological analysis (IPA)?
IPA is designed to help you understand the personal experiences of a subject: how a specific person made sense of something they lived through, rather than what a group has in common.
How do I choose the right qualitative analysis method?
It depends largely on your research aims, objectives and questions. The best tool for the job depends on what you are trying to build. Analyzing what words reveal about a storyteller's intent points somewhere quite different from understanding one person's lived experience, and each method has its own strengths and limitations.
OVERVIEW
00:00 Introduction
02:03 What is qualitative data?
02:46 Qualitative data vs quantitative data
03:25 Is qualitative analysis easier than quantitative analysis?
05:02 The six most popular qualitative analysis methods
05:25 Method 1: Qualitative content analysis
07:58 Method 2: Narrative analysis
10:18 Method 3: Discourse analysis
12:50 Method 4: Thematic analysis
14:50 Method 5: Grounded theory
17:59 Method 6: Interpretative phenomenological analysis (IPA)
20:37 How to choose the right qualitative analysis method
22:55 Recap
FREE RESOURCES
Qualitative Data Analysis Methods - https://go.gradcoach.com/dtyvL
Qualitative 101: The High-Level Process - https://go.gradcoach.com/ThphZ
Qualitative Data Coding 101 - https://go.gradcoach.com/abmhP
Qualitative vs Quantitative Research 101 - https://go.gradcoach.com/t8wp3
Trustworthiness in Qualitative Research - https://go.gradcoach.com/rSVJ7
PREMIUM RESOURCES
Research Methodology 101 (Blueprint) - https://go.gradcoach.com/fptLd
OUR SOCIALS
🟢 Facebook - Facebook: gradcoachofficial
🟢 Twitter - Twitter: gradcoachdotcom
🟢 LinkedIn - LinkedIn: grad-coach-intl
🟢 YouTube - gradcoach
🚀 RESEARCH METHODOLOGY BLUEPRINT: https://go.gradcoach.com/sWf4U
🧰 FREE RESEARCH TOOLKIT: https://go.gradcoach.com/5ZkND